Here’s the difference between Stitch and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.
Stitch provides extract, transform and Load (ETL) as a service for developers to securely manage the data preparation process. It allows users to configure their own data pipeline in a way that balances replication frequency and data selection by choosing the tables, fields, collections, and endpoints required in the warehouse. The product offers replicate API, monitoring & alerting during ETL process, security, compliance, cross-platform integration, and private infrastructure.
Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.
|Categories||ETL Tools||Data Quality Monitoring|
|Stage||Mid Stage||Early Stage|
|Target Segment||Enterprise, Mid size||Mid size|
|Business Model||Open Core||Open Source|
|Location||Philadelphia Us||California, US|
|Companies using it|